Statistical Consulting Centre
The Statistical Consulting Centre provides statistical services to business, industry, government and the academic world.
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Consulting to Business, Industry & Government
We have experience across a broad range of statistical applications, and we offer help with all aspects of data-based research.
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Statistics Courses
Short courses for professionals,academics and graduate researchers.Specialised and bespoke courses, workshops and seminars.
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News
Role of SCC staff in landmark class action over transvaginal mesh implants, Johnson & Johnson, and Ethicon.
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Melbourne Statistical Consulting Platform
Services for University of Melbourne staff and Graduate Researchers from any discipline.
We have expertise in:
- questionnaire design and data collection methods
- study design, for experiments and surveys
- choice of sample size
- data management and verification
- analysis strategies
- modelling of data
- data mining and analytics
- interpretation of analyses and statistical reasoning
- communication of statistical findings, tailored to the audience
- quality graphical presentations
- critical review of quantitative research and reasoning
- statistical software
- expert witness needs
- statistics courses tailored to specific needs
- Statistical software packages including GenStat, Minitab, SPSS and R.
The SCC was formed in 1984 and has continued to build on its reputation across all disciplines. Our aim is to realise the potential and complexities of your data. We deal with real world issues in a practical, robust manner.
Our aims are to:
- Be a focus for the long-standing statistical consulting activities of the School of Mathematics and Statistics;
- Promote the practice of appropriate and informative statistical methods;
- Be a stimulus to relevant teaching in the School of Mathematics and Statistics;
- Provide research problems whose solutions are of immediate practical interest;
- Train advanced students;
- Increase the awareness of the utility of statistical expertise;
- Foster mutually beneficial contacts between the University and the wider community;
- Act as a focus for statistical consultancy within the University.
- Address
- Statistical Consulting Centre
- 139 Barry St
The University of Melbourne
Parkville Victoria 3010
Australia
- Email Deb
- dmai@unimelb.edu.au
- Phone
- +61 3 8344 6995
Transport to The University of Melbourne
Trams are conveniently located on Swanston Street, the Centre encourages sustainable forms of transport.
The University of Melbourne is tram stop number 1 on Swanston Street or Royal Parade stops then walk down on Grattan Street to Barry Street. Opposite University Square park.
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Expression of interest Course Feedback Course Enquiries SCC Facebook
We run fee-paying courses. Anyone can enrol in these courses, subject to satisfying pre-requisites. Participants In our courses come from the University and from business, industry and government. The course fees depend on the length of the course and the situation of the participant.
We also provide both general and specialist courses for individual organisations. They can be run at the University or in-house. If you are interested in such a course, contact the Director, Professor Ian Gordon , or telephone 8344 6995.
Meet the Statistical Consulting Centre team
- Professor Ian Gordon
Director
Phone: 03 8344 6995
- Dr Sandy Clarke-Errey
Consultant
Phone: 03 8344 6797
- Dr Sue Finch
Consultant
Phone: 03 8344 6994
- Associate Professor
Graham HepworthConsultant
Phone: 03 8344 4796
- Steve Vander Hoorn
Consultant
- Cameron Patrick
Consultant
cameron.patrick@unimelb.edu.au
Phone: 03 8344 5295
- Dr Ken Sharpe
Consultant
- Deb Maillardet
Administration Officier
(03) 8344 6995
Even though you may not have realized it, you probably have made some statistical statements in your everyday conversation or thinking. Statements like "I sleep for about eight hours per night on average" and "You are more likely to pass the exam if you start preparing earlier" are actually statistical in nature.
What is statistics?
Statistics is a discipline which is concerned with:
- designing experiments and other data collection,
- summarizing information to aid understanding,
- drawing conclusions from data, and
- estimating the present or predicting the future.
The two statements at the beginning illustrate some of these points.
In making predictions, Statistics uses the companion subject of Probability, which models chance mathematically and enables calculations of chance in complicated cases.
Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practise statistical thinking. This is important even if you do not use statistical methods directly.